ISBN: 9783330074255 - hybrid technique for associative classification of heart diseases: prediction of heart disease using data mining (6 Ergebnisse)

Paperback. Zustand: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock.

Taschenbuch. Zustand: Neu. Hybrid Technique for Associative Classification of Heart Diseases | Prediction of heart disease using Data Mining | Jagdeep Singh | Taschenbuch | 64 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330074255 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the past few years healthcare industry collects huge amounts of healthcare data which unfortunately, are not extracted to discover hidden information for effective decision making. Medical services today have come a long way to treat patients with various diseases. Among the most fatal one is the heart disease problem, which cannot be seen with a naked eye and comes instantly. The mortality rates has increased due to poor clinical decisions. To achieve reliable and cost effective treatment computer-based information or decision support systems can be developed to do the task. Data mining provides the solution for knowledge discovery from these large and complex databases. The author work involves the development of a framework based on associative classification techniques on heart dataset. Implementation of work is done on heart dataset from the UCI Machine Learning Repository to test and evaluate on different for better results. Experimental results show that most of the associative classification rules help in the best prediction of heart disease and helps in making reliable decision support system. 64 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the past few years healthcare industry collects huge amounts of healthcare data which unfortunately, are not extracted to discover hidden information for effective decision making. Medical services today have come a long way to treat patients with various diseases. Among the most fatal one is the heart disease problem, which cannot be seen with a naked eye and comes instantly. The mortality rates has increased due to poor clinical decisions. To achieve reliable and cost effective treatment computer-based information or decision support systems can be developed to do the task. Data mining provides the solution for knowledge discovery from these large and complex databases. The author work involves the development of a framework based on associative classification techniques on heart dataset. Implementation of work is done on heart dataset from the UCI Machine Learning Repository to test and evaluate on different for better results. Experimental results show that most of the associative classification rules help in the best prediction of heart disease and helps in making reliable decision support system.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh JagdeepJagdeep Singh is currently working as Assistant Professor (Computer Programmer) in Information Technology department of Guru Nanak Dev Engineering College, Ludhiana. His research area is Data Mining Techniquies and has p. …

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the past few years healthcare industry collects huge amounts of healthcare data which unfortunately, are not extracted to discover hidden information for effective decision making. Medical services today have come a long way to treat patients with various diseases. Among the most fatal one is the heart disease problem, which cannot be seen with a naked eye and comes instantly. The mortality rates has increased due to poor clinical decisions. To achieve reliable and cost effective treatment computer-based information or decision support systems can be developed to do the task. Data mining provides the solution for knowledge discovery from these large and complex databases. The author work involves the development of a framework based on associative classification techniques on heart dataset. Implementation of work is done on heart dataset from the UCI Machine Learning Repository to test and evaluate on different for better results. Experimental results show that most of the associative classification rules help in the best prediction of heart disease and helps in making reliable decision support system.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.…